Toward Flexible Intelligence: MITI's New Program of Real World Computing

نویسنده

  • Nobuyuki Otsu
چکیده

The Real World Computing (RWC) program is starting this year on a large scale as the successor to the Fifth Generation Computer project which formally ended in 1992. This is the next Japanese national project launched by M I T I (Ministry of International Trade and Industry) with a budget of over $ 500 million for ten years The reason why we dare call it "program" is that we intend to pursue more fundamental and generic technology in a new and wide framework of research and development different from the traditional M I T I projects which have mainly devoted themselves to the development of machines. Through the program, which is open to the world, it is also intended that Japan makes a greater international contribution to basic science and generic technology which should be the common property of mankind. The primary objective of the new program is to lay the theoretical foundation and to pursue the technological realization of human-like flexible and intelligent information processing as a new paradigm of information processing towards the highly information-based society of the 21st century. Contrary to that the Fifth Generation project pursued the aspect of logical (symbolbased) information processing (or intelligence) of humans, the RWC program is rather pursuing another aspect of intuttive (pattern-based) information processing as a new framework and foundation of information processing, and also aiming at unifying both aspects in a bottom-up manner. In this paper the outline of the Real World Computing program is introduced, referring to the background, concepts, and contents of the research and development of the program.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A fixed and flexible maintenance operations planning optimization in a parallel batch machines manufacturing system

Scheduling has become an attractive area for artificial intelligence researchers. On other hand, in today's real-world manufacturing systems, the importance of an efficient maintenance schedule program cannot be ignored because it plays an important role in the success of manufacturing facilities. A maintenance program may be considered as the heath care of manufacturing machines and equipments...

متن کامل

Transition of a Text-Based Insulin Titration Program From a Randomized Controlled Trial Into Real-World Settings: Implementation Study.

BACKGROUND The Mobile Insulin Titration Intervention (MITI) program helps patients with type 2 diabetes find their correct basal insulin dose without in-person care. Requiring only basic cell phone technology (text messages and phone calls), MITI is highly accessible to patients receiving care in safety-net settings. MITI was shown in a randomized controlled trial (RCT) to be efficacious at a N...

متن کامل

Real-Time Building Information Modeling (BIM) Synchronization Using Radio Frequency Identification Technology and Cloud Computing System

The online observation of a construction site and processes bears significant advantage to all business sector. BIM is the combination of a 3D model of the project and a project-planning program which improves the project planning model by up to 6D (Adding Time, Cost and Material Information dimensions to the model). RFID technology is an appropriate information synchronization tool between the...

متن کامل

Smog, Cognition and Real-World Decision-Making

Cognitive functioning is critical as in our daily life a host of real-world complex decisions in high-stakes markets have to be made. The decision-making process can be vulnerable to environmental stressors. Summarizing the growing economic and epidemiologic evidence linking air pollution, cognition performance and real-world decision-making, we first illustrate key physiological and psychologi...

متن کامل

A COMPARATIVE STUDY OF TRADITIONAL AND INTELLIGENCE SOFT COMPUTING METHODS FOR PREDICTING COMPRESSIVE STRENGTH OF SELF – COMPACTING CONCRETES

This study investigates the prediction model of compressive strength of self–compacting concrete (SCC) by utilizing soft computing techniques. The techniques consist of adaptive neuro–based fuzzy inference system (ANFIS), artificial neural network (ANN) and the hybrid of particle swarm optimization with passive congregation (PSOPC) and ANFIS called PSOPC–ANFIS. Their perf...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1993